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Advanced Image Processing Techniques for Remote Sensing Applications. A Systematic Approach to Estimate Crop Yield using NOAA/Landsat 8 Satellites Data Through Denoising and Enhancement
В наличии
| Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Kanagala Sateesh Kumar and Gunapati Sreenivasulu
ISBN: 9786206781790
Год издания: 1905
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 168
Издательство: LAP LAMBERT Academic Publishing
Цена: 46404 тг
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Аннотация: The main objective of this book is to propose a systematic approach to estimate crop yield (Paddy, Groundnut) for remote sensing applications using NOAA and Landsat 8 satellite images. In general the received imagery are noisy in nature. So, to tackle this issue spatial and frequency domain based denoising techniques were proposed and discussed in detail by implemented on both NOAA and Landsat 8 images. After this, In this book, empirical crop yield estimation models are proposed for both NOAA and Landsat 8 satellite data to estimate crop yields of both Paddy, groundnut with remote sensing images and meteorological parameters. By this, it can be said that this research work can be used as a secondary opinion in the estimation of crop yield over the study area.
Ключевые слова: image processing, Remote sensing, Denoising, crop yield estimation, NOAA, Landsat
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